Medical Education

A Simple Trace Semantics for Asynchronous Sequence Diagrams

Sequence diagrams are a popular technique for describing interactions between software entities. However, because the OMG group's UML standard is not based on a rigorous mathematical structure, it is impossible to deduce a single interpretation for the notation's semantics, nor to understand precisely how its different fragments interact. While there are a lot of suggested semantics in the liter...

SOLAS: Superpositioning an Optical Lens in Automotive Simulation

Automotive Simulation is a potentially cost-effective strategy to identify and test corner case scenarios in automotive perception. Recent work has shown a significant shift in creating realistic synthetic data for road traffic scenarios using a video graphics engine. However, a gap exists in modeling realistic optical aberrations associated with cameras in automotive simulation. This paper buil...

X-LeBench: A Benchmark for Extremely Long Egocentric Video Understanding

Long-form egocentric video understanding provides rich contextual information and unique insights into long-term human behaviors, holding significan...

Imbalanced Medical Image Segmentation with Pixel-dependent Noisy Labels

Accurate medical image segmentation is often hindered by noisy labels in training data, due to the challenges of annotating medical images. Prior re...

UltraRay: Full-Path Ray Tracing for Enhancing Realism in Ultrasound Simulation

Traditional ultrasound simulators solve the wave equation to model pressure distribution fields, achieving high accuracy but requiring significant c...

Advancing Personalized Learning Analysis via an Innovative Domain Knowledge Informed Attention-based Knowledge Tracing Method

Emerging Knowledge Tracing (KT) models, particularly deep learning and attention-based Knowledge Tracing, have shown great potential in realizing pe...

Unsupervised Domain Adaptation for Occlusion Resilient Human Pose Estimation

Occlusions are a significant challenge to human pose estimation algorithms, often resulting in inaccurate and anatomically implausible poses. Althou...

GIT-CXR: End-to-End Transformer for Chest X-Ray Report Generation

Medical imaging is crucial for diagnosing, monitoring, and treating medical conditions. The medical reports of radiology images are the primary medi...

MRG: A Multi-Robot Manufacturing Digital Scene Generation Method Using Multi-Instance Point Cloud Registration

A high-fidelity digital simulation environment is crucial for accurately replicating physical operational processes. However, inconsistencies betwee...

Deposition Rates in Thermal Laser Epitaxy: Simulation and Experiment

The modeling of deposition rates in Thermal Laser Epitaxy (TLE) is essential for the accurate prediction of the evaporation process and for improved...

PSYCHE: A Multi-faceted Patient Simulation Framework for Evaluation of Psychiatric Assessment Conversational Agents

Recent advances in large language models (LLMs) have accelerated the development of conversational agents capable of generating human-like responses...

Prediction of Geoeffective CMEs Using SOHO Images and Deep Learning

The application of machine learning to the study of coronal mass ejections (CMEs) and their impacts on Earth has seen significant growth recently. U...

Scaling Molecular Representation Learning with Hierarchical Mixture-of-Experts

Recent advancements in large-scale self-supervised pretraining have significantly improved molecular representation learning, yet challenges persist, ...

Bridging model and experiment in systems neuroscience with Cleo: the Closed-Loop, Electrophysiology, and Optophysiology simulation testbed

Systems neuroscience has experienced an explosion of new tools for reading and writing neural activity, enabling exciting new experiments (e.g., all-o...

Data-efficient protein mutational effect prediction with weak supervision by molecular simulation and protein language models

Machine learning-based protein mutational effect prediction is widely used in protein engineering and pathogenicity prediction, but training data scar...

FixGrower: An efficient and robust curriculum for shaping fixation behavior in rodents

Center-port fixation is a common prerequisite for many freely-moving rodent tasks in neuroscience and psychology. However, typical protocols for shapi...

Reconstructing the Mitochondrial Proton Motive Force Using Physics-Informed Neural Networks and Surrogate Bioenergetic Signals

The mitochondrial proton motive force (PMF) underlies ATP synthesis, metabolite transport, and energy coupling. Yet, direct measurement of PMF remains...

Evaluating BOLD functional MRI biophysical simulation approaches: impact of vascular geometry, magnetic field calculations, and water diffusion models

Biophysical simulations have guided the development of blood oxygenation level-dependent (BOLD) functional MRI (fMRI) acquisitions and signal models t...

CryoPhold: CryoEM meets AlphaFold and molecular simulation to reveal protein dynamics

Here we are introducing CryoPhold, a modular workflow that unifies AlphaFold-based ensemble generation, Bayesian reweighting against experimental cryo...

vcfsim: flexible simulation of all-sites VCFs with missing data

VCFs are the most widely used data format for encoding genetic variation. By design, standard VCFs do not include data from sites where all individual...